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Facing the Realities of the Global Energy Crunch
On September 14, American oil executives delivered some alarming news. “The great oil crisis is here.” As the Wall Street Journal explained, “Commercial fuel stocks around the world have been depleting for more than six months, and strategic crude reserves can’t be tapped much further. Attacks last ...
WE ARE YOUTH SINCE 1897: HAPPY BIRTHDAY, JUVENTUS!
129 years of history.But when you live your life nurturing youth, in your heart and in your spirit, the passing of time is not a burden, but becomes a constant source of energy that is renewed every s...
Opinion | Central Mass. program explores link between food, mental health
Just as the food we eat affects our physical health, it stands to reason that the nutrients and energy we get from food can have an impact on our mental well-being, too.
The hard yards are in front of us, says Blake
nBy GARY FITZGERALD SEB Blake insists Gloucester’s strong start to the season has resulted in even tougher training sessions. The hooker reveals the Cherry and Whites’ coaching staff are ramping up the intensity before games to ensure the positivity and energy around the club continues to rise. And Blake claims there is a determined attitude […] The post The hard yards are in front of us, says Blake appeared first on The Rugby Paper .
The Best Late-Night Habit for More Energy the Next Day, According to Experts
It’s true—unplugging in the evening can help you wake up the next day with more energy and mental clarity.
Scientists say a forgotten particle may explain why the universe exists
A mysterious particle overlooked for decades may hold the key to why matter survived the Big Bang, allowing stars, planets, and life to exist. Scientists believe this forgotten neutrino reshaped the early universe and may have left detectable gravitational wave signals that could help unlock the cosmos’s deepest mysteries.
Apple Reveals New iPad Mini's Battery Capacity
Apple has published an EU energy label for the iPad mini 8 that reveals the device has a battery capacity of 4,900 mAh, which is slightly lower than the 5,034 mAh capacity of the previous model's battery. However, Apple's website lists identical battery life estimates for both models, so it appears that the improved power efficiency of the A20 Pro chip in the new iPad mini helps to offset its slightly smaller battery.
Is American Electric Power Still The Business You Bought?
For questions about this article or underlying research, email help@trefis.com. Most people who own American Electric Power (AEP) bought a steady electric utility for its dividend, which came to 2.9% of the company's market value over the last twelve months.
Florida education chief defends science plan
Education Commissioner Henry Mack pushed back Tuesday against criticism that Florida is de-emphasizing evolution in its new plan for teaching science, insisting the state is still covering a subject he agreed was a bedrock of biological science.“Evolutionary biology and the theory of evolution is in the standards,” Mack said. But several parents and teachers who attended an evening forum on the state’s proposed science standards criticized the proposal by the Florida Department of Education, which Mack runs, specifically the handling of evolutionary science.Joshua Garrett, a teacher in Orange County Public Schools, said the state’s proposed standards “danced around” evolution.State standards are benchmarks for what students should learn in their classes kindergarten through 12th grade, guiding what lessons are taught, what subjects are in state-approved textbooks and what concepts are tested on state exams.Florida’s current science standards call evolution a “big idea” and “the fundamental concept underlying all of biology.”The proposed ones barely mention evolution — a scientific theory explaining change in living species over time from natural selection that has been a cornerstone of biology for more than a century. The term “evolution,” in fact, is never defined in the new high school life sciences standards, though the concepts are sprinkled across several units.The education department has made revisions to its proposal, officials said, but it was not immediately clear at the Tuesday forum, held at Lake Buena Vista High School in southwest Orange County, what those changes were.Mack interjected during Garrett’s comments asking him where specifically he wanted the state to mention evolution more prominently. Then he said, “Consider it done.”Mack also asked Garrett to join the state’s faculty committee on the standards.The state released the new standards in September, and several experts quickly criticized them, saying they lacked depth and skirted around both evolution and climate change, important topics for Florida students to learn.The state has since hosted a “listening tour,” including a virtual forum and two other in-person meetings in Walton and Hillsborough counties. Tuesday’s meeting drew a small crowd of about 30 people, six of whom spoke.Mack described the state’s public forums as a chance for “myth busting” and to make clear Florida’s position.He wants to students to learn “above ideology,” he said, and added that evolution isn’t settled science. TNCMS.AdManager.render({region: 'fixed-big-ad-middle-asset', slot: 1, fold: "span"}); “I want to cultivate skeptics in the healthy sense of that term. As a result of these standards, students should not be walking away convinced of anything other than the rigor of the scientific method,” Mack said.The new standards would replace the current set, adopted after a monthslong, statewide fight over the inclusion of evolution as a required subject of study. Those who opposed the 2008 standards argued creationism, or the biblical story that God created all living things, should be taught alongside evolution.Thomas Simon, a Winter Park parent, compared Florida adopting the new standards to Nazi Germany ignoring the findings of Jewish scientists — which in part lost them World War II.“If this board could explicitly name communism in the history standards last year — because words matter — you must explicitly name the foundations of modern medicine, agriculture, and energy,” Simon said.Florida last year adopted new standards that require students learn about the “dangers and evil of communism.”Teri O’Connor, an elementary science teacher in Orange County, urged Mack to curtail the total number of standards, as they list more than 1,000 benchmarks teachers are to cover during their classes.“It’s only 180 days of school. That right there is an issue, especially if you want to dive in. If we need to teach the rigor of it and to critically think about each one, that’s difficult,” she said.Kathleen Murray, who spoke on behalf of the conservative political group Citizens Defending Freedom, said she was in “strong support” of the proposed standards. Science should teach children how to think, not what to think, she said.“When teaching the origins of life and the universe, the curriculum owes it to the Florida students to be honest about the limits of what scientific models can actually prove,” Murray said.State education officials said they’d received about 1,800 comments on the benchmarks, and they have updated them based on that criticism.With Tuesday the state’s final scheduled public forum, Mack said his biggest takeaway was that the standards needed to be more explicit about teaching students how to evaluate scientific studies and evidence and how to understand the scientific method.“We might have to do a better job of helping students question more as a result of these standards,” he said.In his original statement when the standards were announced in September, Mack wrote in a social media post that “science begins in wonder, not in ideology,” and “the classical tradition taught that nature is intelligible because it is ordered — that the book of creation can be read by reason.”Some read that to mean he was trying to interject religion into public school education. TNCMS.AdManager.render({region: 'fixed-big-ad-bottom-asset', slot: 1, fold: "below"});
Udinese vs AS Roma – Match preview and team news
AS Roma is set to face Udinese away from home on Saturday evening at the Bluenergy Stadium in their next Serie A encounter as Gian Piero Gasperini’s team looks to continue their unbeaten league run....
WA business groups seek energy cost relief, faster permitting ahead of 2027 session
Washington business groups agree the state needs more affordable, reliable energy but differ on how to get there. The Association of Washington Business, which represents businesses of all sizes, wants […]
Ray Nicholson reveals how football ‘saved my life’ before acting
On the football field of the new World War II movie “The Mosquito Bowl,” Ray Nicholson carries the ball with a wild-eyed energy, busting tackles and taking brutal hits, and
Can creatine help your mental health? Here’s what the latest evidence says
The brain needs a lot of energy. Without a sufficient supply, mood and mental health may be affected.
UConn Professor Co-Chairs National Academies Study of Federal Small Business Innovation Programs
Two-year study examines how Department of Energy research investments support innovation, entrepreneurship, national priorities
Exclusive | Asian scientists are looking to South Korea as it becomes harder to stay in the US
Seoul university says it’s luring researchers in energy, quantum materials and biomedicine while still working with US and Chinese partners.
Adam Conover on sex, millennial disillusionment, and 'Big Divorce Energy'
The stand-up comedian sounds off on hot topics with no fear and new ferocity.
Local small business owners say cost of living is top midterm issue
With the approaching midterm elections next Tuesday, four New Haven small business owners told the News that they want their future governor to lower energy costs and allow their customers to have enough disposable income.
High-energy 'Six' brings Broadway to Embassy in Fort Wayne
“Six” stands apart from a typical Broadway show, and actor Abigail Sparrow is excited for audiences to see the tour as it stops in the city Nov. 10 and 11.
Business community gathers for energy panel as anti-merger protesters rally outside
The Loudoun County Chamber of Commerce regularly invites regional policymakers and business leaders for panel discussions at the Belmont Country Club in Belmont, but those breakfasts rarely attract protesters.
http://democrats-energycommerce.house.gov/media/press-releases/pallone-and-wyden-hail-court-victory-against-republican-effort-take-health
House Energy and Commerce Committee Ranking Member Frank Pallone, Jr. (D-NJ) and Senate Finance Committee Ranking Member Ron Wyden (D-OR) released the following statement today applauding a court ruling that the Trump Administration violated the law by limiting access to Medicaid for people with serious health conditions:
Gamma-ray burst is one of the brightest in decades
It shot out a billion years’ worth of solar energy through a pencil-sized jet.
How Science Fiction Solved the Energy Crisis
In the 1970s, bold solutions to the crisis abounded... in the realm of fiction, at least.
Japan's science minister visits Kyoto Fusioneering to back fusion energy industrialization push
Japan's science and technology minister paid his first visit to a fusion energy development site on October 22, 2026 — less than two months after taking office.
Einstein's equations may explain the universe without dark energy
Mathematicians have uncovered what they argue is a fundamental flaw in the standard model of the universe, potentially challenging the need for dark energy. Their calculations suggest that the mathematical framework used to describe cosmic expansion is inherently unstable and that the universe could accelerate naturally under Einstein's original theory of gravity. The findings also raise surprising questions about whether our location in the universe is as ordinary as scientists have long assumed.
A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
From Business to Beluga Whales: Inside Briana Maltez’s Marine Biology Journey
Beneath the hum of filtration pumps and the rhythmic trickle of saltwater tanks, Briana Maltez is completely in her element. The Texas A&M University at Galveston marine biology major is following her lifelong love of animals—and that passion drives her pursuit for a second bachelor’s degree in a field that endlessly ignites her curiosity.As a native of nearby Sugar Land, Maltez did not initially set out toward coastal science. She initially earned a degree in agricultural business through the Texas A&M RELLIS campus in Bryan, but her subconscious fascination with ocean life grew into an unignorable question during her time there: What if? Photo courtesy of Briana MaltezThe query continued to plague her until a turning point came during a Florida trip to near the end of her first degree. Up-close encounters with marine life reignited a childhood dream and shifted her trajectory toward the sea. Yet, stepping into an entirely new field required a leap of faith. Faced with the daunting prospect of starting over, Maltez placed her trust in Texas A&M Galveston as the premier marine biology program in the state. Deciding that she would never feel satisfied unless she tried, she applied—finding the resolve to face the demanding science curriculum head-on.Any lingering doubts vanished during her first semester on the island campus. The close-knit campus environment and small class sizes allowed Maltez to build immediate connections with her professors and peers—a welcoming backdrop where her love for ocean stewardship could truly take root.“I instantly fell in love with the campus and the small classes,” Maltez recalled. “I was like, ‘Yep, I’m so happy I came here.'”Before long, Maltez found a second home inside the university’s Sea Life Facility. Designed to mirror complex, large-scale aquarium infrastructure on a manageable scale, the space offered Maltez a safe training ground to grow familiar with system maintenance and water chemistry under the tutelage of Sea Life Facility Manager Katie St. Clair. While tending to the tanks there, she grew especially fond of watching the facility’s resident clownfish breed and care for their clutches.“Katie definitely wants us to learn, ask questions, and get hands-on experience,” said Maltez. “So, it has been great having her help with getting pre-experience before doing it in the real world.”That hands-on experience quickly sparked a deeper interest in animal husbandry—the daily art of monitoring the animal’s diets, observing their behavior, and maintaining the aquarium’s overall health. Eager to turn those newfound practical skills into technical credentials, Maltez even earned certifications in life support systems and water quality management through Aquatic Animal Life Support Operators courses.Maltez’s passion soon extended beyond campus boundaries. During a summer study abroad program in South Caicos, Turks and Caicos, Maltez immersed herself in underwater field research. In addition to learning about local history and ecotourism impacts, she snorkeled daily, utilizing drones and hydrophones to record underwater bioacoustics and listen to the often-missed crackles of snapping shrimp, fish, and lobster larvae. Maltez at SeaWorld San AntonioPhoto courtesy of Briana Maltez“What you don’t realize is that there’s so many animals around you, but because they sense, you already, they run away,” Maltez explained. “I think that’s really cool to experience, because you don’t even think about that when you travel.”Yet, among all her academic adventures, a week-long course at SeaWorld San Antonio through MARB 302 stands out as a defining milestone. Camping on-site alongside fellow marine biology majors, Maltez gained behind-the-scenes access to professional veterinary and husbandry operations, building lasting friendships and even interacting with penguins in the snow.The undeniable highlight of the trip was face-to-face interaction with beluga whales. Having admired the titanic cetaceans for years, getting to learn directly from their trainers solidified her ultimate aspiration: to care for belugas and contribute to conservation research supporting wild populations in Alaska.“They are one of my favorite animals, and I had heard so much about them,” said Maltez. ”Getting to see them up close was an amazing experience.”When she is not analyzing marine environments, Maltez documents campus life through her camera lens. As a photographer for the Nautilus student newspaper, the Yell Leaders at Midnight Yell, and the Shark Scholars club, she brings the university’s passionate energy into sharp focus. With less than a year remaining until graduation, Maltez looks back on her decision to return to school with gratitude. Taking her journey one day at a time helped her push through demanding coursework, unlocking opportunities she once thought were out of reach. Today, Maltez stands as a compelling example of what happens when passion meets purpose: By trusting her drive and embracing every hands-on experience, she has transformed a second chance at college into an opportunity to dive into a career beneath the waves.
Discover the science behind nuclear energy at hands-on INL event
IDAHO FALLS — Idaho National Lab is inviting students of all ages and their families to a nuclear science night. It’s happening Wednesday at the INL Meeting Center, 775 MK Simpson Blvd., in Idaho Falls, according to a news release from the INL. It’s open to the first 350 people to register. The annual hands-on […]
FSU physicist awarded collaborative Department of Energy grant to develop models of quantum matter
A Florida State University condensed-matter physicist is part of a team exploring how quantum materials, which are materials that power everything from
The Connection Between Battery Chemistry and Global Health
Better energy storage could help facilities function during outages, disasters and future emergencies.
Building for Tomorrow is Better for Business Today
The New York State Energy Research and Development Authority (NYSERDA) has launched the seventh round of its Buildings of Excellence Competition.
DOE selects two tribal colleges for workforce development initiative
Two tribal colleges are in line for $2.3 million in federal funding to train workers for energy and infrastructure jobs, the U.S. Department of Energy announced. The projects, which were selected for funding negotiations with DOE, are part of nearly $11.1 million proposed for eight partnerships through DOE’s Partnerships for Academic-Industry Career Training, or PACT, […]
Health experts discuss benefits of taking a break from alcohol before the holidays
With the holidays approaching, health experts are encouraging people to pause their alcohol consumption, highlighting benefits like better sleep, improved energy, and reduced health risks.
How data centers came to dominate politics in Maryland’s purplest county
Today, Frederick is home to Maryland’s only large-scale data center development, and its leaders are learning the hard way about the hazards of navigating the charged and changing politics of the industry, which critics decry for devouring energy, water and land.
NJBPU ends pandemic-era Schools and Small Business Energy Efficiency Stimulus Program
The New Jersey Board of Public Utilities announced the closeout of the Schools and Small Business Energy Efficiency Stimulus (SSB) Program.
Knicks’ Jalen Brunson reveals what fuels Josh Hart’s ‘different’ mindset
The New York Knicks finally secured their first win of the season on Tuesday, defeating the Detroit Pistons 112-97 . Although Josh Hart did not make a significant contribution to the scoring in the victory, Jalen Brunson knows what fuels his teammate’s unique mentality and energy. After the game, when Brunson was asked what he believes drives […] The post Knicks’ Jalen Brunson reveals what fuels Josh Hart’s ‘different’ mindset appeared first on ClutchPoints.
Feds offer Constellation $5 billion in financing to spur nuke development
The Trump administration is offering as much as $5 billion in financing to Constellation Energy Corp. to upgrade and modernize the nuclear operator’s fleet of reactors in Illinois, Maryland, and Pennsylvania.
Why Anthropic’s IPO is risky business
Ahead of Anthropic's IPO, the AI giant's S-1 outlined an unusually broad series of risks to the AI company's success including cyber threats, existential risks to humanity, the model's self-preserving qualities, a tumultuous political climate and even climate change. CNBC's Jonathan Vanian has the story.
Building a Sustainable Future for Life Sciences
For energy-intensive life science companies, sustainability starts long before a product reaches the market. The buildings they choose can play a significant role in their environmental impact—a factor investors are increasingly taking into account.
Ayotte, Warmington offer competing affordability visions
At a Nashua debate, Gov. Kelly Ayotte and Democratic nominee Cinde Warmington laid out competing plans on taxes, energy and housing affordability.
Share your views in 2026 Wisconsin Business Energy Pulse survey
BizTimes Media is asking readers to share their views on the energy landscape in the region as part of our 2026 Wisconsin Business Energy Pulse survey.
AI Is Reshaping the Energy Business — From Smarter Operations to New Power Demands
CNBC’s Julia Boorstin speaks with Chevron President of Oil, Products & Gas Eimear Bonner about how AI is changing energy—from financial analysis to safer, more efficient operations—and the growing power demand it creates. Bonner discusses Chevron’s plans to meet that demand, AI’s impact on jobs and reskilling, and her journey from offshore engineer to senior leadership, sharing lessons on strategy, accountability and leading at scale.
Health systems tap energy-as-a-service to ease financial pressure
More health systems are signing energy-as-a-service deals to modernize aging power plants, reduce capital strain and shift resources toward patient care.
A-State researcher lands NSF award
Arkansas State University has received a National Science Foundation (NSF) award totaling $177,108 to support research aimed at making waste-to-energy systems more efficient, sustainable, and environmentally friendly. Dr. Chiqian Zhang,...
Things To Do in Minneapolis and around the Twin Cities
Find things to do in Minneapolis and the Twin Cities, from theater performances at the Orpheum to events at Xcel Energy Center and Target Center.
I lead HP in Asia. Music, workouts, and curbs on screen time power me.
Michael Boyle, the managing director for HP Greater Asia, is a musician first, and brings that energy to the office.
LaCerte Lauds Southeast, Decries Politics-driven Energy Decisions
FERC Commissioner David LaCerte praised the Southeast for enabling infrastructure and data center buildout while criticizing New England and Texas for making decisions based on politics.
Sponsored: Celebrating Nuclear Science Week
Nuclear energy plays an important role in powering our communities. This week, Entergy is celebrating the science, innovation and skilled professionals who help deliver reliable energy to Louisiana and beyond.
As Hochul mails energy rebate checks, Mamdani officials push back on one-time relief
Mayor Zohran Mamdani spent parts of Friday and Sunday campaigning alongside Gov. Kathy Hochul for her reelection. On Monday, two leading figures in his
Political battle intensifies within Labour over Rosebank oil field
Scottish Labour leader Michael Marra is urging the energy secretary to approve the controversial plans.
A neglected particle from the dawn of time could explain why everything in the universe exists
A hypothetical particle could have briefly held more energy than everything else in the infant universe combined, which could help explain how matter won out over antimatter.
Anne Ladky: Bring energy to build a world-class workforce development system
Here's what says a senior adviser at the Corporate Coalition of Chicago says Chicago needs in a mayor.
German business confidence rises in October despite global economic risks
Germany's ifo Business Climate Index rose in October, driven by stronger manufacturing confidence, although higher energy prices and interest rates continue to pose risks to the economic recovery.View on euronews
In his own words: Trump on gas prices and energy costs since launching the war with Iran
Since launching the war with Iran nearly eight months ago, U.S. President Donald Trump has struggled to quell soaring energy costs, undermining Republicans’ attempt to keep control of Congress in the midterm elections next week.
Tiny magnetic vortices could help computers work more like your brain
Scientists have filmed tiny magnetic vortices called skyrmions melting out of an organized lattice for the first time, revealing new ways to manipulate these unusual structures. The breakthrough could help make brain-like computers a reality, potentially enabling dramatically smaller and more energy-efficient technology.
Some schools are banning caffeine pouches. Here's what parents and students should know
Young people are turning to caffeine pouches for a quick energy boost, raising concerns among health experts, school officials, and parents
Some schools are banning caffeine pouches. Here's what parents and students should know
Young people are turning to caffeine pouches for a quick energy boost, raising concerns among health experts, school officials, and parents
Some schools are banning caffeine pouches. Here's what parents and students should know
Young people are turning to caffeine pouches for a quick energy boost, raising concerns among health experts, school officials, and parents
Kenilworth's David Brearley 2026 Homecoming Photo Album
KENILWORTH, NJ – The Homecoming Dance was held on Friday, Oct. 16, and students were filled with energy and excitement as they left for the annual occasion held at David Brearley.To preserve the...
NH candidates for governor, U.S. Senate, Congress clash over...
At a Manchester forum, New Hampshire candidates clashed over housing, energy, healthcare and other costs as affordability emerged as voters’ central concern. ...
Scientists Discover How Excess RNA Can Disrupt the Energy Supply Inside Cells
Scientists at Texas A&M University discovered that excess RNA can interfere with the machinery cells use to produce energy, even without triggering certain immune defenses. The findings reveal an unex...
DOE expands tribal energy funding to $125M, selects 63 projects
The Department of Energy expanded a $50 million tribal energy funding opportunity to more than $125 million after tribal applications sought roughly 10 times the initial amount. The agency selected 63 tribe-led projects across 16 states for what it described as the largest single investment in the Office of Indian Energy’s history. The projects include […]
This High-Energy Speedster Should Be Brought Back Next Year
The San Diego Padres got a nice season from outfielder Samad Taylor, and he should definitely get a new deal.
Mediterranean diet may boost tiny proteins that protect the heart and brain
Scientists have uncovered a surprising new clue to why the Mediterranean diet is so good for the heart, brain, and healthy aging. Researchers at USC found that older adults who closely followed the diet had higher levels of two tiny proteins, humanin and SHMOOSE, produced by the mitochondria, the energy-producing structures inside cells. These proteins have been linked to protection against heart disease, Alzheimer's disease, and age-related damage.
Video: Brewers Stadium Erupts After Jacob Misiorowski’s 1st World Series Strike Out
Jacob Misiorowski did not have to wait long to feel the energy of the World Series. The Milwaukee Brewers right-hander recorded his first strikeout on baseball’s biggest stage Friday night, and the reaction from the crowd at American Family Field said everything about what the moment meant to Brewers fans. A video of the strikeout [...]
Scientists uncover the molecular pillars that shape our cells' powerpacks
Mitochondria are the tiny powerpacks that supply most of the energy our cells need. Their ability to generate this energy relies on a distinctive architecture: two membranes, one tucked inside the other, ...
More than 350 suburban homes benefit from program targeting lead and other health risks
Improving energy efficiency is also called an important goal of the program as Chicago faces more severe weather events.
Smart people react to a growing wave of threats to the internet
Execs and analysts are warning that major cybersecurity threats could leave critical systems — from energy and water to healthcare — especially exposed.
A tiny defect in a crystal reveals a big quantum surprise
Researchers have solved a long-standing challenge in understanding how tiny defects in materials like diamond and silicon carbide behave when exposed to light. Their new computational method revealed a surprisingly important energy-loss mechanism in silicon carbide that scientists had previously underestimated. The finding helps explain a mystery that has puzzled researchers for years and could improve the design of quantum computers and sensors.
National High Magnetic Field Laboratory will develop cutting-edge nuclear magnetic resonance facility with $18M in funding
The project supports National Science Foundation priorities in biotechnology, energy, advanced manufacturing and health The National High Magnetic Field
Environmental engineers awarded $2.4M to study how abandoned wells impact health
A multi-institutional team of researchers, led by an engineer from Penn State, has been awarded a five-year, $2.4 million grant from the Pennsylvania Department of Energy to study the impacts that orphaned natural gas wells might have on the surrounding environment or communities.
‘A vicious cycle’: Schools ban pouches that have as much caffeine as two cups of coffee—causing stunted ‘development and mental health’ for students
Caffeine pouches, small packets placed in the mouth between the lip and gum, are marketed as a portable and discreet way to boost energy and focus.
Sponsored: Celebrating Nuclear Science Week
Nuclear energy plays an important role in powering our communities. This week, Entergy is celebrating the science, innovation and skilled professionals who help deliver reliable energy to Louisiana and beyond.
Republican Senate candidate Bert Mizusawa talks energy, immigration, AI, Trump at UVA Center for Politics
With less than two weeks until Virginians hit the polls for midterm elections, Republican U.S. Senate candidate Bert Mizusawa took center stage at the University of Virginia’s Center for Politics Thursday evening for his “Evening with Maj. Gen. Bert Mizusawa” event.
WT Natural Sciences Department to honor Steed as graduate of distinction
A giant in the area energy industry will be honored by West Texas A&M University’s Department of Natural Sciences at an upcoming event.
Burning through Türkiye's GDP: The high cost of fossil fuel PM2.5 pollution on public health – Centre for Research on Energy and Clean Air
Türkiye’s reliance on fossil fuels is generating massive air pollution health costs both within the country and throughout the region. This report finds that fossil fuels account for more than half (52%) of Türkiye’s population exposure to PM2.5 air pollution. The cumulative health impacts are estimated to cost the Turkish economy approximately USD 55 billion each year, equivalent to 4.1% of national GDP in 2024. The pollution is also responsible for roughly 26,500 deaths per year in the country, including deaths from cardiovascular and respiratory diseases, lung cancer, stroke, and diabetes.The impacts begin at the very start of life, with fossil-fuel-derived PM2.5 pollution contributing to an estimated 8,000 preterm births, 8,200 low-birthweight infants, 5,100 new cases of childhood asthma, and 6,500 emergency-room visits for asthma each year in Türkiye.Beyond the estimated deaths each year in Türkiye, air pollution from the country’s fossil fuel emissions also contributes to deaths and economic losses in neighbouring countries. In 2024, these emissions were estimated to cause: 32,000 deaths and USD 2.1 billion in economic burden in Egypt; 1,700 deaths and USD 0.2 billion in economic burden in Syria; 800 deaths and USD 0.8 billion in economic burden in Iraq; 500 deaths and USD 4.5 billion in economic burden in Israel; and 400 deaths and USD 1.5 billion in economic burden in Greece.Türkiye currently has no national ambient air-quality standard for PM2.5, despite the substantial health burden associated with exposure to the pollutant. Figure — The percentage of annual PM2.5 emissions in Türkiye’s fossil fuel emissions, using the EMEP emission inventory and EMEP MSC-W chemical transport model Key findings Türkiye’s fossil fuel emissions (from domestic sources as well as international aviation and shipping) account for 52% of population exposure to PM₂.₅ nationwide. PM2.5 pollution attributable to Türkiye’s fossil fuel use is responsible for approximately 26,500 deaths in the country every year, including deaths from cardiovascular and respiratory diseases, lung cancer, stroke, and diabetes. Children are among the most affected, with fossil fuel-derived PM2.5 pollution contributing to an estimated 8,000 preterm births, 8,200 low-birth-weight infants, 5,100 new cases of childhood asthma and 6,500 emergency room visits for asthma each year. The cumulative health impacts of fossil fuel-derived PM2.5 pollution are estimated to cost the Turkish economy approximately USD 55 billion each year, equivalent to 4.1% of national GDP in 2024. Transboundary pollution attributable to Türkiye’s land-based fossil fuel emissions also leads to thousands of deaths in five neighbouring countries, with estimated economic burden per year (as of 2024) reaching USD 2.1 billion in Egypt (3,200 deaths), USD 0.2 billion in Syria (1,700 deaths), USD 0.8 billion in Iraq (800 deaths), USD 4.5 billion in Israel (500 deaths), and USD 1.5 billion in Greece (400 deaths). Türkiye currently has no national ambient air quality standard for PM2.5, despite the substantial health burden associated with exposure to the pollutant. Reducing fossil fuel use and emissions across Türkiye’s energy, transport and industrial systems would deliver substantial air quality and public health benefits by reducing exposure to PM2.5 and preventing associated illness and deaths. Figure — Annual deaths attributable to Türkiye’s land-based fossil fuel emissions in the five most affected countries, based on 2024 emissions
Commission announces plan for polar hub to step up research coordination
The European Commission plans to develop an EU polar research hub to strengthen coordination and improve the alignment between science and policy. The objective, according to a Commission official, is to “better connect research, observation and scientific infrastructure, improve access to research resources and strengthen coordination with stakeholders, including Indigenous people.”Announced in a new EU Arctic strategy on October 20, there is little detail yet on how the hub will be implemented, only that it will “reinforce and expand” the European Polar Coordination Office (EPCO), which is hosted and managed by the European Polar Board (EPB) at Umeå University in Sweden. EPCO was born from the EU-PolarNet projects funded through Horizon 2020 and currently coordinates the EU Polar Cluster, a network of EU-funded collaborative polar projects.While the practical details remain to be defined, the decision sends “a clear and positive signal,” said Maria Grigoratou, head of EPCO and executive secretary of EPB. “By reinforcing EPCO, the Commission has an opportunity to build on the legacy of EU-PolarNet 2, strengthen European polar research coordination and expand cooperation with a broader range of Arctic stakeholders,” she told Science|Business.The move has been welcomed by the polar research community. “The polar research hub could play an important role in connecting existing research communities, observation systems and infrastructure, and in bringing scientific knowledge closer to policymaking, in cooperation with local communities and Indigenous people,” said Katrine Moland Hansen, director of operations at Norway’s Nansen Environmental and Remote Sensing Center.But money will be an issue. “It is clear that EPCO will need more resources and structure to function well and to make research reach policymakers,” said Kati Lindström, vice-chair of the Polar Research Committee of the Estonian Academy of Sciences. “European polar research is big if we pool the resources, and it should not only be left to enthusiastic scientists to develop networks of strategic importance in their free time.”The Arctic strategy makes a point of saying that local communities should have a greater involvement in Arctic science. “All EU Arctic research consortia are mandated to invite Indigenous people representatives to participate in projects,” it reads. “The EU also supports research that is directly led by Indigenous communities and address their challenges.”It also underlines the importance of reinforcing collaboration with like-minded partners such as Norway, Iceland, Canada, the UK, Japan and South Korea, as well as deepening its engagement with NATO. This includes the US, with which “the EU is committed to continuing a pragmatic transatlantic engagement based on shared interests and values.”Related articlesViewpoint: Does Europe dare to invest in the Arctic?Anchor Greenlanders in Arctic climate research, experts tell EU ahead of policy updateFor Moland Hansen, this open and inclusive approach to cooperation is encouraging. “The Arctic is also a strong example of why equal participation of associated countries in EU funding instruments matters.”Overall, she finds the new Arctic strategy to be ambitious, timely and comprehensive. “We particularly welcome the recognition that climate change, environmental protection, security, resilience and competitiveness are closely interconnected,” she said. “Research, observations and forecasting capabilities are essential to understanding the rapid changes taking place in the Arctic and addressing these challenges together.”Security focusWhile the Arctic strategy foregrounds security, with pledges to protect undersea cables, boost satellite monitoring, deploy more icebreakers and improve military mobility, the polar community is satisfied that environmental concerns have not been forgotten.“It is inevitable that there is a strong security angle to the EU Arctic strategy, but the impact of climate change and need for climate mitigation and resilience is also strongly recognised and includes a pledge to stay the course on climate commitments,” said Sian Prior, lead advisor to the Clean Arctic Alliance, a coalition of campaigning non-profit organisations.“We need to remember that by the time the next Multiannual Financial Framework comes to an end, in 2034, the polar regions, especially the Arctic region, will be living under a new reality when it comes to ecosystem processes, when it comes to the climate,” Grigoratou went on. “And that will affect any ambition that humans may have in the region.”Lindström agreed. “All aspects of European security are dependent on climate change in the Arctic and consequently, on climate science,” she said. “We cannot close our eyes to issues like energy security, critical minerals, northern shipping routes, dual-use technologies and others. However, it remains to be seen how well the promises to protect the environment and Indigenous rights will hold when faced with critical mineral extraction under the Critical Minerals Act.”
Energy Dept to loan part of home heating oil reserve to ease prices, drawing bipartisan praise
The Department of Energy plans to loan 315,000 barrels from the Northeast Home Heating Oil Reserve as fuel oil prices surge 70% from a year ago.
Australia urged to put biodiversity at the heart of planning as global targets slip out of reach
The world is falling short of its biodiversity commitments because nature is still treated as an afterthought in decisions about housing, infrastructure, agriculture, energy, mining and conservation, ...
Oak Ridge museum hosts free nuclear science events Saturday
The American Museum of Science and Energy offers free admission this Saturday for Nuclear Energy Discovery Day.
Oak Ridge museum hosts free nuclear science events Saturday
The American Museum of Science and Energy offers free admission this Saturday for Nuclear Energy Discovery Day.
Too much RNA can starve cells of energy, scientists discover
Scientists have uncovered an unexpected danger lurking inside cells: too much RNA can damage the structures responsible for producing energy. A new study found that excess RNA, including the normally essential messenger RNA (mRNA), can directly disrupt mitochondria without relying on the immune system. The discovery could help explain how viral infections and certain aging-related diseases damage cells.
‘Gold factory’ relic, Chinese plant cuts 60% energy use: 7 science highlights
From an artificial pancreas to a cancer trial with 84 per cent efficacy, here are some highlights from SCMP’s recent science reporting.
UK approves new gas field in the North Sea amid concerns about energy security
The UK government has approved the development of a major new gas field in the North Sea amid rising concerns globally about energy security and the effect of climate policies on energy bills.
New Richland Lab Could Transform How Scientists Study Microbes and Boost Regional Jobs
The BriefGroundbreaking held Tuesday: PNNL officially began construction on the M2PC lab, a 30,800-square-foot facility funded by the U.S. Department of Energy's Office of Science that will study soil microbes to improve crop productivity and develop new biotechnology applications. The facility will be open to researchers from around the nation and the world.Research timelines could shrink dramatically: The facility's automation and AI capabilities could reduce experiments that currently take six months to just 72 hours, allowing scientists to explore more possibilities faster than ever before.New jobs coming to the Tri-Cities: The project is expected to create positions for automation engineers, AI experts, roboticists, technicians, and skilled craftspeople, with the facility opening in 2029.RICHLAND, Wash. — Pacific Northwest National Laboratory broke ground Tuesday on a first-of-its-kind facility that could accelerate scientific discoveries about the microscopic organisms living in soil—organisms that may hold the key to growing more food and developing new energy technologies.The Microbial Molecular Phenotyping Capability, or M2PC, represents a significant investment in automation and artificial intelligence to speed up research that traditionally takes years to complete. The 30,800-square-foot facility will house more than 100 connected automated instruments designed to study microbes at a pace and scale never before possible.Reshaping Agriculture's FutureThe M2PC facility will not put a new tool directly into a farmer's hands tomorrow morning, but it is actively reshaping the commercial pipeline to solve agriculture's biggest headache with biologicals: inconsistent field performance. For years, PNNL researchers have explored how microbes work and how they might help produce useful materials, advance energy technologies, and address challenges involving critical materials and minerals. But those experiments have been limited by what researchers could accomplish by hand."They can be used to provide nutrients to a plant so that the plant would grow more. So, like increasing your crop productivity, for example," said Douglas Mans, PNNL's Associate Laboratory Director for Integrated Discovery Sciences.PNNL's own research shows soil microbes can help plants access nutrients and withstand drought—benefits that could prove crucial as farmers face growing environmental pressures. The M2PC facility will allow scientists to identify and optimize useful microbes faster than ever before, accelerating the development of biological solutions that actually work consistently in the field.What Makes M2PC UniqueThe Microbial Molecular Phenotyping Capability differs from traditional research labs because it operates as a first-of-its-kind, AI-enabled autonomous laboratory designed to shrink experimental timelines from years down to months or weeks. The M2PC lab will connect more than 100 automated instruments to grow microbes, prepare samples, measure their behavior, and link observations to the molecular processes behind them. Artificial intelligence will help analyze results and guide the next experiments, allowing scientists to explore more questions faster.Deb Gracio, PNNL Director, emphasized the transformative potential during Tuesday's groundbreaking ceremony: "Research that has taken years will become possible in months and hopefully in weeks."That acceleration is already being demonstrated. PNNL's smaller automated lab, called the Anaerobic Microbial Phenotyping Platform or AMP2, completed three experimental cycles in just 72 hours—a process that normally would have taken about six months."That normally would have taken us about six months … and we were able to do that in 72 hours," Mans said.The AMP2 laboratory is not being closed or replaced. Instead, the current 1,800-square-foot laboratory serves as an active prototype and precursor for the much larger M2PC facility. AMP2 will continue operating as a separate lab designed to run anaerobic experiments—those conducted in the absence of oxygen—while M2PC will focus on aerobic research.Broader Applications Beyond AgricultureWhile improving crop productivity is one important application, the M2PC facility is designed to support research into multiple areas critical to national priorities. The lab will advance research into biofuels, manufacturing materials, and energy technologies. It will also help researchers understand how microbes respond to environmental changes and how to design biological systems for biotechnology applications.As a flagship component of the Department of Energy's Genesis Mission, M2PC represents a significant investment in using artificial intelligence and automation to accelerate U.S. scientific discovery. Dorothy Koch, Associate Director of the DOE Office of Science Biological and Environmental Research program, highlighted the facility's importance during the groundbreaking."M2PC will accelerate biological discovery and design," Koch said, noting that the facility is expected to conduct a minimum of 500 strain experiments per week, 100 microbiome experiments per week, and take a million measurements per month.Economic Opportunity for the RegionBeyond the scientific breakthroughs, the M2PC project represents significant economic opportunity for the Tri-Cities region. The facility will require hiring automation engineers, AI experts, technicians skilled in operating robotics, and specialized craftspeople to build and maintain the sophisticated equipment."We're anticipating that type of hiring," Mans said when asked about job creation.PNNL has already begun recruiting talent nationally and internationally for positions related to the smaller AMP2 lab, bringing automation engineers from cities like Boston and San Francisco to work in the region. The M2PC facility is expected to accelerate that trend."This capability won't really exist anywhere else in the world," Mans said, suggesting the facility could become a draw for scientific talent seeking to work on cutting-edge biotechnology research.Timeline and Next StepsThe M2PC facility is expected to open in 2029. Between now and then, construction crews will level and prepare the ground, while the building takes shape. Simultaneously, Ginkgo Bio Works, the automation contractor, will build the facility's automation components off-site so they can be installed as the building is completed.In the interim, PNNL researchers and the broader scientific community will begin planning the first experiments to be conducted in the facility, ensuring research is lined up and ready to begin as soon as the doors open.The groundbreaking ceremony included representatives from the Department of Energy, PNNL leadership, and elected officials at the federal, state, and local levels, underscoring the project's significance to the region and the nation's biotechnology future. News The U.S. Department of Energy Secretary tours Pacific Northwest National Laboratory Dan Hanson, Apple Valley News Now News Beyond DNA: Scientists Explore New Frontiers in Biology Research Dan Hanson, Apple Valley News Now News TRIDEC optimistic that Hanford, PNNL will see funding in national budget Robert Desaulniers News Big picture science: monitoring the Yakima River Basin News PNNL research could shape the future of fighting fentanyl COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
Gubernatorial candidates come out swinging over energy costs
With two weeks to go before Election Day, the candidates for governor were swinging away at each other on the campaign trail.
Sacramento news roundup: ICE incident, seized business and energy rank
From a congressman's call for ICE accountability to a State Bar raid that hauled off 14 boxes of files, here's what's driving Sacramento conversation.
Google.org awards $36m to 17 AI science teams | ETIH EdTech News
ETIH edtech news covers Google.org's $36 million commitment to 17 AI for Science projects, including research at the University of Cambridge and MIT. The selected organizations will advance work across climate, clean energy and healthcare, with optional access to Google's six-month accelerator.
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
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